Utilization of Convolutional Neural Networks in Coin Grading for BSP Series One Peso Coins
John Dustin Santos, Michael B. Dela Fuente · Technologique · 2024
Identifying the grade of the coin is one of the methods used in numismatics to get the condition and collector’s values of a coin. Coin grading is subjective and sensitive in nature in which at least three (3) numismatists or coin graders or experts are needed to have a persuasive result or coin grade. This paper aimed to develop a tool that will give an accurate and objective grade of a coin. The main objective of this paper is to check whether a developed tool can accurately grade a coin based on its image only. This study used a Convolutional Neural Network (CNN) as image analysis algorithm for the developed tool and three hundred (300) BSP Series one peso coin images for each of the five-coin grades were also generated as dataset for the tool to perform its function. Major results produced a more accurate tool that gave a specific grade of a coin. A group of numismatists or coin graders or experts evaluated the developed coin grading tool in which it acquired very satisfactory results. Convolutional neural network is proven to be effective in accurately and objectively grading coin images and can be a great help for numismatist in appraising coins. This can be improved by considering variety of coins for grading.